Export Destinations
Moralis Datashare supports exporting blockchain data directly to a variety of S3-compatible object storage providers. This enables seamless integration with your existing data infrastructure and analytics pipelines.
| Provider | Description |
|---|
| AWS S3 | Amazon Web Services Simple Storage Service |
| Google Cloud Storage | Google Cloud Platform object storage |
| Cloudflare R2 | Cloudflare’s S3-compatible object storage with zero egress fees |
| Backblaze B2 | Cost-effective cloud storage with S3-compatible API |
| DigitalOcean Spaces | Simple object storage from DigitalOcean |
| Wasabi | High-performance cloud storage with no egress fees |
| MinIO | Self-hosted, high-performance object storage |
| Linode (Akamai) Object Storage | Akamai’s S3-compatible cloud storage |
| Vultr Object Storage | S3-compatible storage from Vultr |
| Scaleway Object Storage | European cloud provider’s object storage solution |
Configuration
All export destinations use S3-compatible credentials and endpoints. When setting up an export, you’ll need to provide:
- Bucket name - The destination bucket for your data
- Access key - Your storage provider access key ID
- Secret key - Your storage provider secret access key
- Endpoint URL - The S3-compatible endpoint (required for non-AWS providers)
- Region - The storage region (where applicable)
Choose an output format based on your analytics tooling and use case.
| Format | Best For | Notes |
|---|
| Parquet | Athena, Spark, DuckDB, BigQuery | Columnar, highly compressed (5–10x). Recommended for analytics workloads. |
| CSV | Excel, general compatibility | Larger files than Parquet. Compresses well with gzip. |
| JSON | Debugging, human inspection | Largest output format. Useful for spot-checking data. |
Export size estimates are based on uncompressed data size. Parquet typically achieves 5–10x compression, and CSV with gzip also compresses significantly. Credits are calculated on uncompressed volume regardless of the format you choose.
Getting Started
To request access to Datashare and configure your export destination, see the Early Access page.
